Polyglot Studio: TensorFlow.Js Tutorial: Making Predictions from 2D Data

Tuesday, May 25, 2021

TensorFlow.Js Tutorial: Making Predictions from 2D Data

This tutorial is based on the original article at: https://codelabs.developers.google.com/codelabs/tfjs-training-regression

html

javascript

/*
1) Define run() Function
*/
async function run() {

/*
  4) Call getData() function
  */
  
  /*
  5) Render Scatterplot Graph
  */  
  
  /*
  7) Call createModel() for NN
  */

/*
  9) Call convertToTensor()
  */

/*
  11) Call trainModel()
  */

/*
  13) Call testModel()
  */  
  
}

/*
2) Define eventListener() For run() Function
*/
document.addEventListener('DOMContentLoaded', run);

/*
3) Define getData() function
*/
/**
 * Get the car data reduced to just the variables we are interested
 * and cleaned of missing data.
 */
async function getData() {  
}

/*
6) Define createModel() function for NN
*/
function createModel() {
}  
 
/*
8) Define convertToTensor()
*/
/**
 * Convert the input data to tensors that we can use for machine
 * learning. We will also do the important best practices of _shuffling_
 * the data and _normalizing_ the data
 * MPG on the y-axis.
 */
function convertToTensor(data) {
}

/*
10) Define trainModel()
*/
async function trainModel(model, inputs, labels) {  
}
  
/*
12) Define testModel()
*/
function testModel(model, inputData, normalizationData) {  
}

See the Pen Untitled by smartcomputing123 (@smartcomputing123) on CodePen.

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Tuesday, May 25, 2021

TensorFlow.Js Tutorial: Making Predictions from 2D Data

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